Big Data Analysis and Smart Cities
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (31 May 2023) | Viewed by 332
Special Issue Editors
Interests: mobile computing; mobile handsets; pattern clustering; telecommunication industry; big data; air pollution control; automobiles; carbon compounds; cloud computing; data analysis; data mining
Interests: petri nets; discrete event systems; scheduling and control
2. Department of Computer Science, Norwegian University of Science and Technology, Høgskoleringen 1, 7034 Trondheim, Norway
Interests: internet of things; design research; tangible user interfaces
Special Issue Information
Dear Colleagues,
Smart cities can significantly impact different aspects of human life, including transportation, communication, health, automotive, security, and education. Big data offer the potential for cities to obtain valuable insights and revolutionize every aspect of our lives by analyzing a large amount of data collected through various sources.
Despite the extensive application of the smart city concept, including environment monitoring, traffic analysis, utility monitoring, public transportation, and incident reporting, its further development requires resolving challenges toward fair and sustainable societies. Investigating big data analytics adoption in smart cities is a crucial challenge.
The rapid development of AI, big data, and ML has promoted the transformation of traditional urban planning approaches toward smart ones. Such a transition has changed all aspects of city operations. Using emerging technologies to innovate has become a key research direction and can lead to breakthrough performance and significant growth. In recent years, technologies such as big data have been widely adopted to solve various city problems, promoting innovations and development of economy and playing an important role in driving innovative development in all relevant aspects of society.
This research topic aims to present the latest advances and developments of new methods, techniques, systems, and tools dedicated to big data applications for smart cities.
Contributions to theories and practice, including but not limited to, the following technical areas, are welcomed:
- Big Data Analysis for Smart Cities
- Artificial Intelligence and Evolutionary Techniques for Smart Cities
- Digital Twin technologies for Smart Cities
- Intelligent Monitoring
- Data-Driven Modelling and Optimization
- Machine & Deep Learning for Urban Planning
- Data Analysis for Monitoring and Control of City Operations
- Computational Intelligence Technologies for Smart Cities
- Novel sensing techniques
- Novel interfaces and interaction techniques for urban big data
Please contact guest editors for any questions regarding your possible contributions to this special issue.
Dr. Mohammadhossein Ghahramani
Dr. Yan Qiao
Dr. Simone Mora
Guest Editors
Manuscript Submission Information
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Keywords
- big data analysis for smart cities
- artificial intelligence and evolutionary techniques for smart cities
- digital twin technologies for smart cities
- intelligent monitoring
- data-driven modeling and optimization
- machine and deep learning for urban planning
- data analysis for monitoring and control of city operations
- computational intelligence technologies for smart cities
- novel sensing techniques
- novel interfaces and interaction techniques for urban big data
